Epidemic modelling and actuarial applications for pandemic insurance: a case study of Victoria, Australia

IF 1.5 Q3 BUSINESS, FINANCE Annals of Actuarial Science Pub Date : 2024-01-09 DOI:10.1017/s1748499523000246
Chang Zhai, Ping Chen, Zhuo Jin, Tak Kuen Siu
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Abstract

With the recent outbreak of COVID-19, evaluating the epidemic risk appears to be a pressing issue of global concern and one of the major challenges recently. In the fight against pandemics, the ability to understand, model, and forecast the transmission dynamics of infectious diseases plays a crucial role. This paper provides an overview of foundational compartment models and introduces the Susceptible-Exposed-Infected-Containing-3-Substates-Recovered-Dead model to study the dynamics of COVID-19. A meticulous data calibration procedure is employed to study the evolution trend of an actual pandemic using real-world data from Victoria, Australia. Additionally, the paper discusses innovative applications of epidemic models to the insurance industry, which are currently under investigation. Through the use of the newly developed analytically tractable model, insurance companies are able to determine fair premium levels during an outbreak. Moreover, the paper provides practical guidance for insurance companies by examining the variation in reserve levels over time.
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大流行病保险的流行病建模和精算应用:澳大利亚维多利亚州的案例研究
随着最近 COVID-19 的爆发,评估流行病风险似乎成为全球关注的一个紧迫问题,也是近期面临的主要挑战之一。在对抗流行病的斗争中,理解、模拟和预测传染病传播动态的能力起着至关重要的作用。本文概述了基础分区模型,并引入了 "易感-暴露-感染-含 3 个子态-恢复-死亡 "模型来研究 COVID-19 的动态变化。本文采用了细致的数据校准程序,利用澳大利亚维多利亚州的实际数据研究了实际大流行的演变趋势。此外,本文还讨论了流行病模型在保险业中的创新应用,这些应用目前正在研究之中。通过使用新开发的可分析模型,保险公司能够在疫情爆发期间确定公平的保费水平。此外,本文还通过研究准备金水平随时间的变化,为保险公司提供了实用指导。
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CiteScore
3.10
自引率
5.90%
发文量
22
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